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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.79% of network
(49)
Strength Breakdown
  • This Post (1.79%)
  • Facebook Buenos Aires (1.79%)
  • Facebook Campus in San Jose (1.79%)
  • Facebook Dublin (1.79%)
  • Facebook Toronto (1.79%)
  • She Codes Hackathon 2015 @Facebook (1.79%)
  • Facebook's Menlo Park Headquarters (1.79%)
Dominant nodes (excluded from chart)
Facebook offices 87.50%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Facebook offices (12.50%)
  • Facebook Buenos Aires (12.50%)
  • Facebook Campus in San Jose (12.50%)
  • Facebook Dublin (12.50%)
  • Facebook Toronto (12.50%)
  • She Codes Hackathon 2015 @Facebook (12.50%)
  • Facebook's Menlo Park Headquarters (12.50%)
Direct Connections 2

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Facebook offices] *
                            1 [Facebook Buenos Aires] *
                            1 [Facebook Campus in San Jose] *
                            1 [Facebook Dublin] *
                            1 [Facebook Toronto] *
                            1 [She Codes Hackathon 2015 @Facebook] *
                            1 [Facebook's Menlo Park Headquarters]
                           )

                         = 49

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Facebook offices] *
                            1 [Facebook Buenos Aires] *
                            1 [Facebook Campus in San Jose] *
                            1 [Facebook Dublin] *
                            1 [Facebook Toronto] *
                            1 [She Codes Hackathon 2015 @Facebook] *
                            1 [Facebook's Menlo Park Headquarters]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.79% (49 overall)
  • This Post (1.79%)
  • Facebook Buenos Aires (1.79%)
  • Facebook Campus in San Jose (1.79%)
  • Facebook Dublin (1.79%)
  • Facebook Toronto (1.79%)
  • She Codes Hackathon 2015 @Facebook (1.79%)
  • Facebook's Menlo Park Headquarters (1.79%)
Dominant nodes (excluded from chart)
Facebook offices 87.50%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Facebook offices (12.50%)
  • Facebook Buenos Aires (12.50%)
  • Facebook Campus in San Jose (12.50%)
  • Facebook Dublin (12.50%)
  • Facebook Toronto (12.50%)
  • She Codes Hackathon 2015 @Facebook (12.50%)
  • Facebook's Menlo Park Headquarters (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Facebook offices ↗
Str: 49Inf: 1
Facebook Buenos Aires ↗
Str: 1Inf: 1
Facebook Campus in San Jose ↗
Str: 1Inf: 1
Facebook Dublin ↗
Str: 1Inf: 1
Facebook Toronto ↗
Str: 1Inf: 1
She Codes Hackathon 2015 @Facebook ↗
Str: 1Inf: 1
Facebook's Menlo Park Headquarters ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Facebook's Menlo Park Headquarters ↗
Str: 1Inf: 1
She Codes Hackathon 2015 @Facebook ↗
Str: 1Inf: 1
Facebook Toronto ↗
Str: 1Inf: 1
Facebook Dublin ↗
Str: 1Inf: 1
Facebook Campus in San Jose ↗
Str: 1Inf: 1
Facebook Buenos Aires ↗
Str: 1Inf: 1
Facebook offices ↗
Str: 49Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Facebook offices
Inbound Posts (1)
Facebook offices
Last calculated: Jun 12, 3:00 PM
7

Related Content

Locations

  • Facebook offices

Topics

  • Facebook Buenos Aires
  • Facebook Campus in San Jose
  • Facebook Dublin
  • Facebook Toronto
  • She Codes Hackathon 2015 @Facebook
  • Facebook's Menlo Park Headquarters